Automatic parameter selection for denoising algorithms using a no-reference measure of image content
IEEE Transactions on Image Processing
Entropy of gabor filtering for image quality assessment
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Texture Description Through Histograms of Equivalent Patterns
Journal of Mathematical Imaging and Vision
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Anisotropy is assumed to be the difference of a plane object observed in different dimensions. For digital images, anisotropy is determined in two ways. The first one is based on the comparison of mosaics bearing rectangular smalts developed in different (perpendicular, to be exact) directions. The comparison is provided through an intermediate mosaic called palette, that is the mosaic with the frequency of smalts equal to arithmetic mean of the frequency of smalts of compared mosaics. The latter is based on the calculation of the information capacity of the mosaics developed in different directions. The information capacity is the specific entropy of real mosaic calculated against the reconstructed one bearing the most probable expansions of smaller smalts. The problem of test object is discussed.